feat: A股板块监控系统 - 东方财富API数据获取、异动检测、邮件通知
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README.md
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README.md
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# A股板块监控系统
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自动获取东方财富板块数据，监控异动并发送邮件通知。
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## 功能特点
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- 获取行业板块涨跌幅排行
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- 获取概念板块涨跌幅排行
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- 监控主力资金流入/流出
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- 检测板块异动（涨跌幅≥3%、资金流入≥10亿）
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- 自动发送HTML格式邮件通知
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## 数据来源
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东方财富HTTP API (http://push2.eastmoney.com)
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## 使用方法
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### 测试API连接
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```bash
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python3 board_monitor.py test
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```
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### 获取板块数据
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```bash
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# 获取行业板块涨跌幅TOP20
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python3 board_monitor.py get industry --sort pct --limit 20
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# 获取概念板块资金流入TOP20
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python3 board_monitor.py get concept --sort flow --limit 20
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```
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### 执行监控检查
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```bash
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# 监控并发送通知（发现异动时）
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python3 board_monitor.py monitor -v
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# 监控但不发送通知
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python3 board_monitor.py monitor --no-notify
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```
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## 定时任务配置
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```bash
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# 添加到crontab
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crontab -e
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# 盘中每小时检查（9:30-15:00）
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30-59 9 * * 1-5 /usr/bin/python3 /home/xian/.openclaw/workspace-coder/works/board-monitor/board_monitor.py monitor
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0-15 10-14 * * 1-5 /usr/bin/python3 /home/xian/.openclaw/workspace-coder/works/board-monitor/board_monitor.py monitor
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0-0 15 * * 1-5 /usr/bin/python3 /home/xian/.openclaw/workspace-coder/works/board-monitor/board_monitor.py monitor
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```
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## 异动检测阈值
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| 类型 | 阈值 |
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|------|------|
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| 涨幅异动 | ≥ 3% |
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| 跌幅异动 | ≤ -3% |
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| 资金流入 | ≥ 10亿 |
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| 资金流出 | ≤ -10亿 |
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可在 `board_monitor.py` 中修改 `check_anomaly()` 函数的参数调整阈值。
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## 通知邮箱
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默认发送到: zuitoushang@tphai.com
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可在 `send_notification()` 函数中修改。
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## 版本历史
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- v1.0.0 (2026-04-10) - 初始版本
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418
board_monitor.py
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board_monitor.py
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#!/usr/bin/env python3
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"""
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A股板块监控系统
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获取东方财富板块数据，监控异动，发送通知
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"""
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import urllib.request
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import json
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import os
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import sys
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import subprocess
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from datetime import datetime
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from typing import List, Dict, Optional
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from pathlib import Path
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# 清除代理环境变量（解决代理问题）
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for proxy_var in ['http_proxy', 'https_proxy', 'HTTP_PROXY', 'HTTPS_PROXY']:
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os.environ.pop(proxy_var, None)
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# 配置
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SCRIPT_DIR = Path(__file__).parent
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DATA_DIR = SCRIPT_DIR / "data"
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DATA_DIR.mkdir(exist_ok=True)
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# 东方财富API配置
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EASTMONEY_BASE_URL = "http://push2.eastmoney.com/api/qt/clist/get"
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# 板块类型
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BOARD_TYPES = {
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"industry": "m:90+t:2", # 行业板块
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"concept": "m:90+t:3", # 概念板块
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}
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# 数据字段
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FIELDS = "f12,f14,f2,f3,f62,f66,f84,f104,f125,f126,f127,f128"
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# f12: 板块代码
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# f14: 板块名称
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# f2: 最新价
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# f3: 涨跌幅
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# f62: 主力净流入
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# f66: 主力净流入-陆股通
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# f84: 领涨股代码
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# f104: 领涨股名称
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def get_board_data(board_type: str, sort_by: str = "f3", limit: int = 50) -> Optional[List[Dict]]:
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"""
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获取板块数据
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参数:
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board_type: 板块类型 (industry/concept)
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sort_by: 排序字段 (f3=涨跌幅, f66=主力资金)
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limit: 返回数量
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返回:
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List[Dict]: 板块数据列表
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"""
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fs = BOARD_TYPES.get(board_type)
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if not fs:
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print(f"❌ 未知的板块类型: {board_type}")
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return None
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url = f"{EASTMONEY_BASE_URL}?fid={sort_by}&po=1&pz={limit}&pn=1&np=1&fltt=2&invt=2&fs={fs}&fields={FIELDS}"
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try:
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req = urllib.request.Request(url, headers={
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'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36',
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'Referer': 'http://quote.eastmoney.com/'
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})
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with urllib.request.urlopen(req, timeout=15) as resp:
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data = json.loads(resp.read().decode())
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if data.get('data') and data['data'].get('diff'):
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items = data['data']['diff']
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boards = []
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for item in items:
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board = {
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'code': item.get('f12', ''),
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'name': item.get('f14', ''),
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'price': item.get('f2', 0) / 100 if item.get('f2') else 0,
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'pct_change': item.get('f3', 0) / 100 if item.get('f3') else 0,
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'main_flow': item.get('f62', 0) / 1e8 if item.get('f62') else 0, # 亿元
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'main_flow_lgt': item.get('f66', 0) / 1e8 if item.get('f66') else 0, # 陆股通流入
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'leader_code': item.get('f84', ''),
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'leader_name': item.get('f104', ''),
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}
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boards.append(board)
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return boards
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else:
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print(f"⚠️ API返回数据为空")
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return None
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except urllib.error.URLError as e:
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print(f"❌ 网络请求失败: {e}")
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return None
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except json.JSONDecodeError as e:
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print(f"❌ JSON解析失败: {e}")
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return None
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except Exception as e:
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print(f"❌ 获取数据异常: {e}")
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return None
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def check_anomaly(boards: List[Dict], pct_threshold: float = 3.0, flow_threshold: float = 10.0) -> Dict:
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"""
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检查板块异动
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参数:
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boards: 板块数据列表
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pct_threshold: 涨跌幅阈值 (%)
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flow_threshold: 资金流入阈值 (亿元)
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返回:
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Dict: 异动信息，包含涨跌异动和资金异动
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"""
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anomaly = {
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'pct_up': [], # 涨幅异动
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'pct_down': [], # 跌幅异动
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'flow_in': [], # 资金流入异动
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'flow_out': [], # 资金流出异动
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'timestamp': datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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}
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for board in boards:
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# 涨跌幅异动
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if board['pct_change'] >= pct_threshold:
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anomaly['pct_up'].append(board)
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elif board['pct_change'] <= -pct_threshold:
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anomaly['pct_down'].append(board)
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# 资金流向异动
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if board['main_flow'] >= flow_threshold:
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anomaly['flow_in'].append(board)
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elif board['main_flow'] <= -flow_threshold:
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anomaly['flow_out'].append(board)
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return anomaly
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def format_board_line(board: Dict) -> str:
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"""格式化单行板块信息"""
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pct = board['pct_change']
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flow = board['main_flow']
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leader = board['leader_name'] or board['leader_code']
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pct_str = f"+{pct:.2f}%" if pct > 0 else f"{pct:.2f}%"
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flow_str = f"+{flow:.2f}亿" if flow > 0 else f"{flow:.2f}亿"
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leader_str = f"领涨: {leader}" if leader else ""
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return f"{board['name']}: {pct_str}, 主力{flow_str} {leader_str}"
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def print_board_summary(boards: List[Dict], title: str, limit: int = 10):
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"""打印板块摘要"""
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if not boards:
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return
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print(f"\n{title}")
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print("=" * 50)
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for board in boards[:limit]:
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print(format_board_line(board))
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def print_anomaly_report(anomaly: Dict):
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"""打印异动报告"""
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print(f"\n📊 板块异动报告 [{anomaly['timestamp']}]")
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print("=" * 60)
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has_anomaly = False
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if anomaly['pct_up']:
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has_anomaly = True
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print(f"\n🔴 涨幅异动 (涨幅 ≥ 3%)")
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for board in anomaly['pct_up']:
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print(f" {format_board_line(board)}")
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if anomaly['pct_down']:
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has_anomaly = True
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print(f"\n🟢 跌幅异动 (跌幅 ≥ 3%)")
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for board in anomaly['pct_down']:
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print(f" {format_board_line(board)}")
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if anomaly['flow_in']:
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has_anomaly = True
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print(f"\n💰 资金大幅流入 (≥ 10亿)")
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for board in anomaly['flow_in']:
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print(f" {format_board_line(board)}")
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if anomaly['flow_out']:
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has_anomaly = True
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print(f"\n💸 资金大幅流出 (≥ 10亿)")
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for board in anomaly['flow_out']:
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print(f" {format_board_line(board)}")
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if not has_anomaly:
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print("\n✅ 今日无明显异动")
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return has_anomaly
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def generate_html_report(anomaly: Dict, board_type: str) -> str:
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"""生成HTML格式报告"""
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lines = [
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"<h2>📊 A股板块异动报告</h2>",
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f"<p>检测时间: {anomaly['timestamp']}</p>",
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f"<p>板块类型: {board_type}</p>",
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]
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if anomaly['pct_up']:
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lines.append("<h3>🔴 涨幅异动 (涨幅 ≥ 3%)</h3>")
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lines.append("<ul>")
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for board in anomaly['pct_up']:
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lines.append(f"<li>{format_board_line(board)}</li>")
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lines.append("</ul>")
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if anomaly['pct_down']:
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lines.append("<h3>🟢 跌幅异动 (跌幅 ≥ 3%)</h3>")
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lines.append("<ul>")
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for board in anomaly['pct_down']:
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lines.append(f"<li>{format_board_line(board)}</li>")
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lines.append("</ul>")
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if anomaly['flow_in']:
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lines.append("<h3>💰 资金大幅流入 (≥ 10亿)</h3>")
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lines.append("<ul>")
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for board in anomaly['flow_in']:
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lines.append(f"<li>{format_board_line(board)}</li>")
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lines.append("</ul>")
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if anomaly['flow_out']:
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lines.append("<h3>💸 资金大幅流出 (≥ 10亿)</h3>")
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lines.append("<ul>")
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for board in anomaly['flow_out']:
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lines.append(f"<li>{format_board_line(board)}</li>")
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lines.append("</ul>")
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if not (anomaly['pct_up'] or anomaly['pct_down'] or anomaly['flow_in'] or anomaly['flow_out']):
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lines.append("<p>✅ 今日无明显异动</p>")
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return "\n".join(lines)
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def send_notification(subject: str, html_body: str, to_email: str = "zuitoushang@tphai.com"):
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"""发送邮件通知"""
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# 使用邮件发送技能
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email_script = Path(__file__).parent.parent.parent / "skills/email/scripts/send_email.py"
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cmd = [
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"python3", str(email_script),
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"send",
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"--to", to_email,
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"--subject", subject,
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"--body", html_body,
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"--html"
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]
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try:
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result = subprocess.run(cmd, capture_output=True, text=True, timeout=30)
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if result.returncode == 0:
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print(f"✅ 邮件发送成功: {to_email}")
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return True
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else:
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print(f"❌ 邮件发送失败: {result.stderr}")
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return False
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except Exception as e:
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print(f"❌ 邮件发送异常: {e}")
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return False
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def monitor(board_types: List[str] = ["industry", "concept"],
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notify: bool = True,
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verbose: bool = False) -> Dict:
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"""
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执行板块监控
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参数:
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board_types: 要监控的板块类型列表
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notify: 是否发送通知（仅在发现异动时）
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verbose: 显示详细日志
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返回:
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Dict: 监控结果汇总
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"""
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import subprocess
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results = {
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'boards': {},
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'anomalies': {},
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'has_anomaly': False
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}
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for board_type in board_types:
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if verbose:
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print(f"\n📡 获取 {board_type} 板块数据...")
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# 获取板块数据（按涨跌幅排序）
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boards = get_board_data(board_type, sort_by="f3", limit=100)
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if boards:
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results['boards'][board_type] = boards
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# 检查异动
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anomaly = check_anomaly(boards)
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results['anomalies'][board_type] = anomaly
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if anomaly['pct_up'] or anomaly['pct_down'] or anomaly['flow_in'] or anomaly['flow_out']:
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results['has_anomaly'] = True
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if verbose:
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# 打印TOP10涨跌
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sorted_by_pct = sorted(boards, key=lambda x: x['pct_change'], reverse=True)
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print_board_summary(sorted_by_pct[:10], f"涨幅TOP10 ({board_type})")
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print_board_summary(sorted_by_pct[-10:], f"跌幅TOP10 ({board_type})")
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# 打印异动报告
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print_anomaly_report(anomaly)
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else:
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print(f"❌ 获取 {board_type} 数据失败")
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# 发送通知（仅在发现异动时）
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if notify and results['has_anomaly']:
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subject = "【板块异动警报】检测到板块异动"
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# 合并所有异动
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combined_anomaly = {
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'pct_up': [],
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'pct_down': [],
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'flow_in': [],
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'flow_out': [],
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'timestamp': datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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}
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for anomaly in results['anomalies'].values():
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combined_anomaly['pct_up'].extend(anomaly['pct_up'])
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combined_anomaly['pct_down'].extend(anomaly['pct_down'])
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combined_anomaly['flow_in'].extend(anomaly['flow_in'])
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combined_anomaly['flow_out'].extend(anomaly['flow_out'])
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# 去重（按板块名称）
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for key in ['pct_up', 'pct_down', 'flow_in', 'flow_out']:
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seen = set()
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unique = []
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for board in combined_anomaly[key]:
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if board['name'] not in seen:
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seen.add(board['name'])
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unique.append(board)
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combined_anomaly[key] = unique
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html_body = generate_html_report(combined_anomaly, "行业+概念板块")
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send_notification(subject, html_body)
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return results
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||||
|
||||
|
||||
def main():
|
||||
"""命令行入口"""
|
||||
import argparse
|
||||
|
||||
parser = argparse.ArgumentParser(description="A股板块监控系统")
|
||||
subparsers = parser.add_subparsers(dest="command", help="可用命令")
|
||||
|
||||
# 获取数据命令
|
||||
get_parser = subparsers.add_parser("get", help="获取板块数据")
|
||||
get_parser.add_argument("type", choices=["industry", "concept"], help="板块类型")
|
||||
get_parser.add_argument("--sort", choices=["pct", "flow"], default="pct", help="排序方式")
|
||||
get_parser.add_argument("--limit", type=int, default=20, help="返回数量")
|
||||
|
||||
# 监控命令
|
||||
monitor_parser = subparsers.add_parser("monitor", help="执行监控检查")
|
||||
monitor_parser.add_argument("--types", nargs="+", default=["industry", "concept"], help="板块类型")
|
||||
monitor_parser.add_argument("--no-notify", action="store_true", help="不发送通知")
|
||||
monitor_parser.add_argument("-v", "--verbose", action="store_true", help="显示详细日志")
|
||||
|
||||
# 测试命令
|
||||
subparsers.add_parser("test", help="测试API连接")
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
if args.command == "get":
|
||||
sort_by = "f3" if args.sort == "pct" else "f66"
|
||||
boards = get_board_data(args.type, sort_by=sort_by, limit=args.limit)
|
||||
|
||||
if boards:
|
||||
print(f"\n📊 {args.type} 板块数据 ({len(boards)} 条)")
|
||||
print("=" * 50)
|
||||
for board in boards:
|
||||
print(format_board_line(board))
|
||||
else:
|
||||
print("❌ 获取数据失败")
|
||||
|
||||
elif args.command == "monitor":
|
||||
monitor(
|
||||
board_types=args.types,
|
||||
notify=not args.no_notify,
|
||||
verbose=args.verbose
|
||||
)
|
||||
|
||||
elif args.command == "test":
|
||||
print("\n🧪 测试东方财富API连接...")
|
||||
for board_type in ["industry", "concept"]:
|
||||
print(f"\n测试 {board_type} 板块...")
|
||||
boards = get_board_data(board_type, limit=5)
|
||||
if boards:
|
||||
print(f"✅ 成功获取 {len(boards)} 条数据")
|
||||
for board in boards[:3]:
|
||||
print(f" - {board['name']}: {board['pct_change']:+.2f}%")
|
||||
else:
|
||||
print(f"❌ {board_type} 测试失败")
|
||||
|
||||
else:
|
||||
parser.print_help()
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Reference in New Issue
Block a user